Publications

2025

  1. EMNLP’25
    Empowering GraphRAG with Knowledge Filtering and Integration
    Kai Guo, Harry Shomer, Shenglai Zeng, and 3 more authors
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
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  2. KDD’25
    Towards Understanding Link Predictor Generalizability Under Distribution Shifts
    Harry Shomer*, Jay Revolinsky*, and Jiliang Tang
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
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  3. KDD’25
    Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
    Harry Shomer, Jay Revolinsky, and Jiliang Tang
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
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  4. KDD’25
    A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
    Yu Song, Zhigang Hua, Harry Shomer, and 5 more authors
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
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  5. EDM’25
    A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
    Yucheng Chu, Hang Li, Kaiqi Yang, and 4 more authors
    In The Educational Data Mining Conference, 2025
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  6. APS
    Expression-based machine learning models for predicting plant tissue identity
    Sourabh Palande, Jeremy Arsenault, Patricia Basurto-Lozada, and 8 more authors
    In Applications in Plant Sciences, 2025
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  7. KDD’25: AI4DE
    Automated Label Placement on Maps via Large Language Models
    Harry Shomer and Jiejun Xu
    In KDD 2025: Workshop on AI for Data Editing (AI4DE), 2025
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  8. Preprint
    RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
    Haoyu Han, Harry Shomer, Yu Wang, and 6 more authors
    In arXiv preprint arXiv:2502.11371, 2025
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  9. Preprint
    Higher-order Structure Boosts Link Prediction on Temporal Graphs
    Jingzhe Liu, Zhigang Hua, Yan Xie, and 5 more authors
    In arXiv preprint arXiv:2505.15746, 2025
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  10. Preprint
    Subgraph Generation for Generalizing on Out-of-Distribution Links
    Jay Revolinsky, Harry Shomer, and Jiliang Tang
    In arXiv preprint arXiv:2507.11710, 2025
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2024

  1. ICLR’24
    Revisiting Link Prediction: A Data Perspective
    Haitao Mao, Juanhui Li, Harry Shomer, and 6 more authors
    In The Twelfth International Conference on Learning Representations (ICLR), 2024
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  2. KDD’24
    LPFormer: An Adaptive Graph Transformer for Link Prediction
    Harry Shomer, Yao Ma, Haitao Mao, and 3 more authors
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
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  3. LoG’24
    Sub-graph Based Diffusion Model for Link Prediction
    Hang Li, Wei Jin, Geri Skenderi, and 4 more authors
    In The Third Learning on Graphs Conference, 2024
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  4. NeurIPS’24
    Mixture of Link Predictors on Graphs
    Li Ma, Haoyu Han, Juanhui Li, and 4 more authors
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
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  5. Survey
    Retrieval-Augmented Generation with Graphs (GraphRAG)
    Haoyu Han, Yu Wang, Harry Shomer, and 8 more authors
    In arXiv preprint arXiv:2501.00309, 2024
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  6. Preprint
    Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
    Juanhui Li, Haoyu Han, Zhikai Chen, and 4 more authors
    In arXiv preprint arXiv:2402.08921, 2024
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2023

  1. ASONAM’23
    Learning Representations for Hyper-Relational Knowledge Graphs
    Harry Shomer, Wei Jin, Juanhui Li, and 2 more authors
    In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2023, 2023
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  2. TheWebConf’23
    Toward Degree Bias in Embedding-Based Knowledge Graph Completion
    Harry Shomer, Wei Jin, Wentao Wang, and 1 more author
    In Proceedings of the ACM Web Conference 2023, 2023
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  3. NeurIPS’23
    Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
    Harry Shomer*, Juanhui Li*, Haitao Mao, and 5 more authors
    In Advances in Neural Information Processing Systems, 2023
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  4. ACL’23
    Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
    Juanhui Li, Harry Shomer, Jiayuan Ding, and 5 more authors
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
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  5. CIKM’23
    A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data
    Harry Shomer*, Wentao Wang*, Yuxuan Wan, and 3 more authors
    In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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  6. EMNLP’23
    Distance-Based Propagation for Efficient Knowledge Graph Reasoning
    Harry Shomer, Yao Ma, Juanhui Li, and 3 more authors
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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2022

  1. NAACL’22: Queer In AI
    Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals
    Jamell Dacon, Harry Shomer, Shaylynn Crum-Dacon, and 1 more author
    In NAACL 2022: Queer In AI Workshop, 2022
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